Vetric Instagram User Feed
Instagram User Feed metadata
Compatible Metadata Fields
Applicable Metadata Categories | Compatible |
---|---|
Source | Yes |
Content | Yes |
Author | Yes |
Person | No |
Enrichment | Yes |
Organization | No |
Data source-specific fields? | Yes, please see the Metadata page. |
Metadata Example
{
"data_source": "vetric_instagram_user_feed",
"id": "3374748632723463942_184692323",
"doc_date": "2024-05-24T03:38:20Z",
"content": {
"published": "2024-05-24T03:38:20Z",
"body": "A POEM FOR A MONSTER\n\nIf you could walk with air under your feet\nYou’d find imagination is complete\nWith buoyancy and complicated turns\nWith heartbreak always nudging us to yearn\n\nI found a way back to myself again\nWith different tones, and metals I could bend\nI hope that you will love me in this way \nFor who I am—not then—but for today\n\n-LG\n\nOutfit by @selva________________ \nFashion Direction by @nicolaformichetti \nphoto @domenvandevelde \nstyling @hunterclem_ \nhair @fredericaspiras\nmake up @sarahtannomakeup \nnail @mihonails",
"media_id": "3374748632723463942",
"comments_count": 18133,
"likes_count": 1006342
},
"author": {
"handle": "ladygaga",
"profile_image_source": "https://instagram.fgba1-1.fna.fbcdn.net/v/t51.2885-19/436332564_1083477752743141_8056028257727506515_n.jpg?stp=dst-jpg_e0_s150x150&_nc_ht=instagram.fgba1-1.fna.fbcdn.net&_nc_cat=1&_nc_ohc=EkS-YZUOoyMQ7kNvgGgsE9Q&gid=4d3a9a3ebbd447dc8df7dd72c473ec90&edm=ABmJApABAAAA&ccb=7-5&oh=00_AYD8w_6dTgtCYgWn0hrVdaANe1c8xLYJt9zP6EVjYCcFkg&oe=66A5DAE6&_nc_sid=b41fef",
"verified": true,
"protected": false,
"name": "Lady Gaga",
"userid": "184692323",
"url": "https://instagram.com/ladygaga/"
},
"facebook": {
"userid": "18110591887377755"
},
"source": {
"link": "https://instagram.com/p/C7VhABTt58G/"
}
}
Data collection job creation request
Returns matched Instagram User Id feed. The query value is expected to be a valid Instagram User Id (can be obtained from Instagram user-search).
curl --location 'https://api.platform.datastreamer.io/api/pipelines/{PIPELINE_ID}/components/{COMPONENT_ID}/jobs?ready=true' \
--header 'apikey: <your-api-key>' \
--header 'Content-Type: application/json' \
--data \
'{
"job_name": "my instagram data collection",
"data_source": "vetric_instagram_user_feed",
"query": {
"query": "184692323"
},
"job_type": "oneTime"
}'
Make sure to replace ‘PIPELINE_ID’ and ‘COMPONENT_ID’ variables to the ones associated with your pipeline.
Updated about 22 hours ago